نتایج جستجو برای: nonparametric statistics

تعداد نتایج: 194101  

Journal: :Proceedings of the National Academy of Sciences of the United States of America 2017
Syndi Barish Michael F Ochs Eduardo D Sontag Jana L Gevertz

Cancer is a highly heterogeneous disease, exhibiting spatial and temporal variations that pose challenges for designing robust therapies. Here, we propose the VEPART (Virtual Expansion of Populations for Analyzing Robustness of Therapies) technique as a platform that integrates experimental data, mathematical modeling, and statistical analyses for identifying robust optimal treatment protocols....

2016
Simona Karpavičiūtė Jūratė Macijauskienė

Over 59 million workers are employed in the healthcare sector globally, with a daily risk of being exposed to a complex variety of health and safety hazards. The purpose of this study was to investigate the impact of arts activity on the well-being of nursing staff. During October-December 2014, 115 nursing staff working in a hospital, took part in this study, which lasted for 10 weeks. The int...

2015
Kristel Lankhorst Karin van der Ende-Kastelijn Janke de Groot Maremka Zwinkels Olaf Verschuren Frank Backx Anne Visser-Meily Tim Takken

BACKGROUND In typically developing children, participation in sports has been proven to be positively correlated to both physical and psychosocial health outcomes. In children and adolescents with a physical disability or chronic disease participation in both recreational and competitive sports is often reduced, while for this population an active lifestyle may be even more important in reachin...

2016
Cristina Scarpazza Thomas E. Nichols Donato Seramondi Camille Maumet Giuseppe Sartori Andrea Mechelli

In recent years, an increasing number of studies have used Voxel Based Morphometry (VBM) to compare a single patient with a psychiatric or neurological condition of interest against a group of healthy controls. However, the validity of this approach critically relies on the assumption that the single patient is drawn from a hypothetical population with a normal distribution and variance equal t...

2016
Amal Khidir Humna Asad Huda Abdelrahim Maha Elnashar Amal Killawi Maya Hammoud Abdul Latif Al-Khal Pascale Haddad Michael D. Fetters

BACKGROUND Health care researchers working in the Arabian Gulf need information on how to optimize recruitment and retention of study participants in extremely culturally diverse settings. Implemented in Doha, Qatar in 2012 with 4 language groups, namely Arabic, English, Hindi, and Urdu, this research documents persons' responses to recruitment, consent, follow-up, and reminder procedures durin...

2017
Awoke Mihretu Solomon Teferra Abebaw Fekadu

BACKGROUND Khat is a psycho-stimulant herb, which has been in use in traditional societies in East Africa and the Middle East over many centuries. Although khat is reported to cause various health problems, what constitutes problematic khat use has never been systematically investigated. This study explored the acceptable and problematic uses of khat from the perspective of users. METHODS The...

2011
TM Khan MA Hassali H Tahir A Khan

BACKGROUND To evaluate public perceptions towards the causes of depression and schizophrenia and identifications of factors resulting stigma towards mental ill. METHOD A cross-sectional study was conducted among the inhabitants of Pulau-Pinang, Malaysia in March, 2009. A 24-item questionnaire was used to obtain respondent views. A non-probability (i.e convenient sampling method) was used to a...

2002
MAXWELL B. STINCHCOMBE

Many nonparametric estimators and tests are naturally set in infinite dimensional contexts. Prevalence is the infinite dimensional analogue of full Lebesgue measure, shyness the analogue of being a Lebesgue null set. A prevalent set of prior distributions lead to wildly inconsistent Bayesian updating when independent and identically distributed observations happen in class of infinite spaces th...

2010
Iain M. Johnstone Iain Johnstone

During the years 1975 1990 a major emphasis in nonparametric estimation was put on computing the asymptotic minimax risk for many classes of functions. Modern statistical practice indicates some serious limitations of the asymptotic minimax approach and calls for some new ideas and methods which can cope with the numerous challenges brought to statisticians by modern sets of data. Mathematics S...

1999
John W. Fisher

We discuss an information theoretic approach for categorizing and modeling dynamic processes. The approach can learn a compact and informative statistic which summarizes past states to predict future observations. Furthermore, the uncertainty of the prediction is characterized nonparametrically by a joint density over the learned statistic and present observation. We discuss the application of ...

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